Chief Data Solutions Architect

1 day ago

Chennai, Tamil Nadu, India beBeeDataEngineer Full time ₹ 12,00,000 - ₹ 25,00,000

Unlock Data Potential

  • We're seeking a skilled data engineer to join our team and help us unlock the full potential of data.

Key Responsibilities:

  • Design, develop, and implement data pipelines using ETL/ELT tools and techniques.
  • Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes.
  • Develop and implement data quality checks and monitoring processes.
  • Automate data platform deployments and operations using scripting and DevOps tools.
  • Ensure compliance with data governance and security standards throughout the data platform development process.
  • Troubleshoot and resolve data platform issues promptly and effectively.
  • Collaborate with colleagues to understand data platform requirements and design specifications.
  • Assist with data modelling and optimization tasks.
  • Work with stakeholders to translate their needs into technical solutions.
  • Document the data platform architecture, processes, and best practices.
  • Stay up to date with the latest trends and technologies in data engineering.

Requirements:

  • ETL or ELT: AWS Glue, Azure Data Factory, Synapse, dbt.
  • Data Warehousing: Azure SQL Server, Redshift, Big Query, Databricks, Snowflake.
  • SQL and Apache Spark/Python programming languages.
  • Containerization technologies (e.g., Docker, Kubernetes).
  • Cloud Experience: AWS, Azure, GCP.
  • Scripting and DevOps tools (e.g., Git, CI/CD pipeline).

Technical Specifications:

  • 5+ years of experience in data platform builds.
  • Familiarity with multi-cloud data warehousing solutions.
  • Proficient in SQL, Apache Spark/Python programming languages.
  • Good to have skills include data visualization using Power BI, Tableau, or Looker, and familiarity with full-stack technologies.
  • Experience with containerization technologies (e.g., Docker, Kubernetes)
  • Experience with CI/CD pipelines and DevOps methodologies.
  • Ability to work independently, adapt to changing priorities, and learn new technologies quickly.
  • Experience in implementing or working with data governance frameworks and practices to ensure data integrity and regulatory compliance.
  • Knowledge of data quality tools and practices.

What We Offer:

  • Competitive salary.
  • Opportunities for professional growth and development.
  • A dynamic and supportive work environment.

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